Chris Alexiuk

Chris Alexiuk is a deep learning developer advocate at NVIDIA, working on creating technical assets that help developers use the incredible suite of AI tools available at NVIDIA. Chris comes from a machine learning and data science background, and he is obsessed with everything and anything about large language models.
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Posts by Chris Alexiuk

Agentic AI / Generative AI

NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning

Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,... 11 MIN READ
Agentic AI / Generative AI

How to Evaluate AI Agents From Tool Calls to Task Completion

When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and... 11 MIN READ
Agentic AI / Generative AI

NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents

Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning... 8 MIN READ
Agentic AI / Generative AI

Route AI Agent Workloads Across Models with NVIDIA NeMo Switchyard

Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one... 12 MIN READ
Agentic AI / Generative AI

Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes

Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a... 13 MIN READ
Agentic AI / Generative AI

NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents

Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete... 10 MIN READ